Episodes featuring May
About May's appearance on the show
May Lee, AI and Machine Learning Expert at CS Life Sciences, joined The Med Device Cyber Podcast to share field-tested perspective with our audience of medical device security engineers, regulatory leads, quality teams, and MedTech founders. Every guest we book has either personally led an FDA cybersecurity submission, shipped a connected device into clinical use, or worked the disclosure and remediation side of a real-world vulnerability - we don't run vendor pitches or keynote-style overviews.
The Med Device Cyber Podcast is produced by Blue Goat Cyber, a specialist medical device cybersecurity firm whose hosts have walked submissions through FDA, ISO 14971 risk management, IEC 62304 software lifecycle expectations, and SBOM hygiene under the Refuse-to-Accept policy. The show exists so the lessons learned by people doing this work daily - guests like May - reach the next team that has to figure it out for the first time. If you're researching May Lee for a hiring decision, an advisory call, or to invite them onto your own programme, the episodes below are the most current public record of how they think about the problem.
Want to keep exploring? Browse all our guests, jump to the complete episode catalog, or check our FDA Premarket, Postmarket, and Threat Modeling topic hubs for related conversations.
Frequently Asked Questions
Quick answers drawn from this episode.
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May Lee is AI and Machine Learning Expert at CS Life Sciences. May Lee is an AI and machine learning expert at CS Life Sciences. She helps companies navigate the complex regulatory landscape of incorporating AI and machine learning into their medical devices, ensuring they meet necessary requirements and consider future implications.
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May Lee appears on 1 episode of The Med Device Cyber Podcast: Episode 22 - "Overcoming AI and Data Security Challenges in MedTech with May Lee | Ep. 37".
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Across May's appearances, recurring topics include medical device cybersecurity, quantum computing, fda regulation, eu mdr, and ai in healthcare. These conversations focus on practical medical device cybersecurity guidance for MedTech teams.
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Cybersecurity for medical devices is transitioning from a post-launch fix to a foundational "secure by design" principle, requiring integration throughout the entire product lifecycle.
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